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Question # 4

During the process of Machine Learning, when should you review evaluation metrics?

A.

After you clean the data.

B.

Before you train a model.

C.

Before you choose the type of model.

D.

After you test a model on the validation data.

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Question # 5

To complete the sentence, select the appropriate option in the answer area.

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Question # 6

You need to generate images based on user prompts. Which Azure OpenAI model should you use?

A.

GPT-4

B.

DALL-E

C.

GPT-3

D.

Whisper

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Question # 7

Extracting relationships between data from large volumes of unstructured data is an example of which type of Al workload?

A.

computer vision

B.

knowledge mining

C.

natural language processing (NLP)

D.

anomaly detection

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Question # 8

You have an Al solution that provides users with the ability to control smart devices by using verbal commands.

Which two types of natural language processing (NLP) workloads does the solution use? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

text-to-speech

B.

translation

C.

language modeling

D.

key phrase extraction

E.

speech-to-text

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Question # 9

For each of the following statements. select Yes if the statement is true. Otherwise, select No. NOTE; Each correct selection is worth one point

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Question # 10

Select the answer that correctly completes the sentence.

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Question # 11

What is an example of unsupervised machine learning?

A.

classification

B.

clustering

C.

regression

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Question # 12

Select the answer that correctly completes the sentence.

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Question # 13

You have an Internet of Things (loT) device that monitors engine temperature.

The device generates an alert if the engine temperature deviates from expected norms.

Which type of Al workload does the device represent?

A.

natural language processing (NLP)

B.

computer vision

C.

anomaly detection

D.

knowledge mining

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Question # 14

Match the Al workload to the appropriate task.

To answer, drag the appropriate Ai workload from the column on the left to its task on the right. Each workload may be used once, more than once, or not at all.

NOTE: Each correct match is worth one point.

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Question # 15

You need to determine the location of cars in an image so that you can estimate the distance between the cars.

Which type of computer vision should you use?

A.

optical character recognition (OCR)

B.

object detection

C.

image classification

D.

face detection

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Question # 16

Match the facial recognition tasks to the appropriate questions.

To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

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Question # 17

You need to develop a mobile app for employees to scan and store their expenses while travelling.

Which type of computer vision should you use?

A.

semantic segmentation

B.

image classification

C.

object detection

D.

optical character recognition (OCR)

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Question # 18

Match the types of machine learning to the appropriate scenarios.

To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

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Question # 19

What are two tasks that can be performed by using the Computer Vision service? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Train a custom image classification model.

B.

Detect faces in an image.

C.

Recognize handwritten text.

D.

Translate the text in an image between languages.

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Question # 20

You are processing photos of runners in a race.

You need to read the numbers on the runners’ shirts to identity the runners in the photos.

Which type of computer vision should you use?

A.

facial recognition

B.

optical character recognition (OCR)

C.

semantic segmentation

D.

object detection

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Question # 21

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 22

What is a use case for classification?

A.

predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.

B.

analyzing the contents of images and grouping images that have similar colors

C.

predicting whether someone uses a bicycle to travel to work based on the distance from home to work

D.

predicting how many minutes it will take someone to run a race based on past race times

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Question # 23

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items.

Which type of AI workload should the company use?

A.

anomaly detection

B.

conversational AI

C.

computer vision

D.

natural language processing

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Question # 24

You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use?

A.

Computer Vision

B.

Face

C.

Text Analytics

D.

Form Recognizer

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Question # 25

You have a database that contains a list of employees and their photos.

You are tagging new photos of the employees.

For each of the following statements select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 26

Match the types of computer vision to the appropriate scenarios.

To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

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Question # 27

To complete the sentence, select the appropriate option in the answer area.

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Question # 28

You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit.

Which type of computer vision was used?

A.

object detection

B.

semantic segmentation

C.

optical character recognition (OCR)

D.

image classification

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Question # 29

What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Predict stock prices.

B.

Detect brands in an image.

C.

Detect the color scheme in an image

D.

Translate text between languages.

E.

Extract key phrases.

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Question # 30

In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Extract the invoice number from an invoice.

B.

Translate a form from French to English.

C.

Find image of product in a catalog.

D.

Identity the retailer from a receipt.

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Question # 31

In which scenario should you use key phrase extraction?

A.

translating a set of documents from English to German

B.

generating captions for a video based on the audio track

C.

identifying whether reviews of a restaurant are positive or negative

D.

identifying which documents provide information about the same topics

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Question # 32

You have insurance claim reports that are stored as text.

You need to extract key terms from the reports to generate summaries.

Which type of Al workload should you use?

A.

conversational Al

B.

anomaly detection

C.

natural language processing

D.

computer vision

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Question # 33

To complete the sentence, select the appropriate option in the answer area.

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Question # 34

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 35

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 36

You are building a Language Understanding model for an e-commerce business.

You need to ensure that the model detects when utterances are outside the intended scope of the model.

What should you do?

A.

Test the model by using new utterances

B.

Add utterances to the None intent

C.

Create a prebuilt task entity

D.

Create a new model

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Question # 37

You are developing a solution that uses the Text Analytics service.

You need to identify the main talking points in a collection of documents.

Which type of natural language processing should you use?

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

language detection

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Question # 38

You need to develop a chatbot for a website. The chatbot must answer users’ questions based on the information in the following documents:

    A product troubleshooting guide in a Microsoft Word document

    A frequently asked questions (FAQ) list on a webpage

Which service should you use to process the documents?

A.

Azure Bot Service

B.

Language Understanding

C.

Text Analytics

D.

QnA Maker

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Question # 39

You need to build an app that will read recipe instructions aloud to support users who have reduced vision.

Which version service should you use?

A.

Text Analytics

B.

Translator Text

C.

Speech

D.

Language Understanding (LUIS)

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Question # 40

You need to make the press releases of your company available in a range of languages.

Which service should you use?

A.

Translator Text

B.

Text Analytics

C.

Speech

D.

Language Understanding (LUIS)

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Question # 41

You are authoring a Language Understanding (LUIS) application to support a music festival.

You want users to be able to ask questions about scheduled shows, such as: “Which act is playing on the main stage?”

The question “Which act is playing on the main stage?” is an example of which type of element?

A.

an intent

B.

an utterance

C.

a domain

D.

an entity

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Question # 42

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 43

You use natural language processing to process text from a Microsoft news story.

You receive the output shown in the following exhibit.

Which type of natural languages processing was performed?

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

translation

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Question # 44

You are developing a Chabot solution in Azure.

Which service should you use to determine a user’s intent?

A.

Translator

B.

Azure Cognitive Search

C.

Speech

D.

Language

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Question # 45

Match the types of natural languages processing workloads to the appropriate scenarios.

To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

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Question # 46

Which AI service can you use to interpret the meaning of a user input such as “Call me back later?”

A.

Translator Text

B.

Text Analytics

C.

Speech

D.

Language Understanding (LUIS)

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Question # 47

You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is.

This is an example of which type of natural language processing workload?

A.

language detection

B.

sentiment analysis

C.

key phrase extraction

D.

entity recognition

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Question # 48

To complete the sentence, select the appropriate option in the answer area.

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Question # 49

You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.

This is an example of which Microsoft guiding principle for responsible AI?

A.

fairness

B.

inclusiveness

C.

reliability and safety

D.

accountability

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Question # 50

You are building an AI-based app.

You need to ensure that the app uses the principles for responsible AI.

Which two principles should you follow? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Implement an Agile software development methodology

B.

Implement a process of Al model validation as part of the software review process

C.

Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer

D.

Prevent the disclosure of the use of Al-based algorithms for automated decision making

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Question # 51

Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.

To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

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Question # 52

Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups.

This an example of which Microsoft guiding principle for responsible AI?

A.

accountability

B.

fairness

C.

inclusiveness

D.

privacy and security

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Question # 53

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 54

Match the principles of responsible AI to appropriate requirements.

To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

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Question # 55

Match the types of AI workloads to the appropriate scenarios.

To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

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Question # 56

To complete the sentence, select the appropriate option in the answer area.

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Question # 57

To complete the sentence, select the appropriate option in the answer area.

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Question # 58

To complete the sentence, select the appropriate option in the answer area.

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Question # 59

What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

knowledgeability

B.

decisiveness

C.

inclusiveness

D.

fairness

E.

opinionatedness

F.

reliability and safety

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Question # 60

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 61

When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.

This is an example of which Microsoft guiding principle for responsible AI?

A.

transparency

B.

inclusiveness

C.

fairness

D.

privacy and security

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Question # 62

You plan to deploy an Azure Machine Learning model as a service that will be used by client applications.

Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.

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Question # 63

You run a charity event that involves posting photos of people wearing sunglasses on Twitter.

You need to ensure that you only retweet photos that meet the following requirements:

Include one or more faces.

Contain at least one person wearing sunglasses.

What should you use to analyze the images?

A.

the Verify operation in the Face service

B.

the Detect operation in the Face service

C.

the Describe Image operation in the Computer Vision service

D.

the Analyze Image operation in the Computer Vision service

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Question # 64

Which metric can you use to evaluate a classification model?

A.

true positive rate

B.

mean absolute error (MAE)

C.

coefficient of determination (R2)

D.

root mean squared error (RMSE)

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Question # 65

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

A.

Azure Al Custom Vision

B.

Azure Al Document Intelligence

C.

Azure Al Language

D.

Azure Al face

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Question # 66

To complete the sentence, select the appropriate option in the answer area.

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Question # 67

Which type of machine learning should you use to identify groups of people who have similar purchasing habits?

A.

classification

B.

regression

C.

clustering

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Question # 68

Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

A.

classification

B.

regression

C.

clustering

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Question # 69

To complete the sentence, select the appropriate option in the answer area.

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Question # 70

To complete the sentence, select the appropriate option in the answer area.

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Question # 71

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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Question # 72

Match the types of machine learning to the appropriate scenarios.

To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

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Question # 73

To complete the sentence, select the appropriate option in the answer area.

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Question # 74

To complete the sentence, select the appropriate option in the answer area.

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Question # 75

You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning.

What are two tasks that require an enterprise workspace? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Use a graphical user interface (GUI) to run automated machine learning experiments.

B.

Create a compute instance to use as a workstation.

C.

Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.

D.

Create a dataset from a comma-separated value (CSV) file.

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Question # 76

To complete the sentence, select the appropriate option in the answer area.

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Question # 77

You are building a tool that will process images from retail stores and identify the products of competitors.

The solution will use a custom model.

Which Azure Cognitive Services service should you use?

A.

Custom Vision

B.

Form Recognizer

C.

Face

D.

Computer Vision

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Question # 78

Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

dataset

B.

co mpute

C.

pipeline

D.

module

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Question # 79

You need to use Azure Machine Learning designer to build a model that will predict automobile prices.

Which type of modules should you use to complete the model? To answer, drag the appropriate modules to the correct locations. Each module may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

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Question # 80

You need to predict the income range of a given customer by using the following dataset.

Which two fields should you use as features? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Education Level

B.

Last Name

C.

Age

D.

Income Range

E.

First Name

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Question # 81

You have the Predicted vs. True chart shown in the following exhibit.

Which type of model is the chart used to evaluate?

A.

classification

B.

regression

C.

clustering

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Question # 82

What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

coefficient of determination (R2)

B.

F1 score

C.

root mean squared error (RMSE)

D.

area under curve (AUC)

E.

balanced accuracy

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